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Location: South Kensington About the role: The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple
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the environmental noise sources, aerofoil noise is one of the major contributors, including noise from aircraft wing, aeroengine fan and wind turbines. Therefore, it is crucial to effectively reduce them for a quiet
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About the Role Join a multi-disciplinary team that explores human intestinal development and disease using cutting edge single cell and spatial biology technologies, organoid models and
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The Project: Are you passionate about materials science, numerical modelling and materials characterisation techniques? Do you want to work on cutting-edge research that will directly impact nuclear
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embrittlement during joining—likely due to grain growth and/or precipitate dissolution at elevated temperatures. Diode laser cladding may offer advantages for scalable production. Currently, little data exists
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analyses, mathematical modelling, or data analysis. But whatever the research approach, the goal would be to influence UK policy that increases protection of the UK population from current or future emerging
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This PhD opportunity at Cranfield University explores how next-generation AI models can be embedded within resource-constrained electronic systems to enable intelligent, real-time performance
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align with human values and preferences remains a critical challenge, particularly in sensitive domains such as healthcare, education, and governance. Current evaluation methods primarily rely
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the experimental process. Time permitting, flow sheet modelling will convert the theoretical and bench-scale chemistry research into a practical liquid-liquid extraction set-up. This PhD project will run alongside
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tests of low-emissions concretes Numerical modelling (e.g. modal, FEM, or equivalent) of a concrete FOWT concept (e.g. VolturnUS) under cyclic wave, wind, and current loading for conditions found around